Teresi Jeanne A, Ocepek-Welikson Katja, Ramirez Mildred, Eimicke Joseph P, Silver Stephanie, Van Haitsma Kimberly, Lachs Mark S, Pillemer Karl A
Address correspondence to Mildred Ramirez, Research Division, Hebrew Home at Riverdale, 5901 Palisade Avenue, Riverdale, NY 10471. E-mail:
Gerontologist. 2014 Jun;54(3):460-72. doi: 10.1093/geront/gnt001. Epub 2013 Feb 28.
Although numerous studies have measured behaviors among individuals in congregate settings, few have focused on resident-to-resident elder mistreatment (R-REM). To our knowledge, there is no psychometrically developed measure of R-REM extant. The quantitative development of a measure of staff-reported R-REM is described.
The design was a prevalent cohort study of residents of 5 long-term care facilities. The primary certified nursing assistant was interviewed about R-REM. Advanced measurement methods were used to develop a measure of R-REM.
The loadings on the general factor for the final 11-item scale were greater than those on the group factor except for the item "other physical behavior" (0.63 vs. 0.74), suggesting essential unidimensionality. Although the bifactor model fit was slightly better than that of the unidimensional model, the difference was trivial (bifactor comparative fit index [CFI] = 0.997, root mean square error of approximation [RMSEA] = 0.013, unidimensional CFI = 0.979, and RMSEA = 0.030). However, modest support was provided for use of verbal and physical subscales. The explained common variance statistics were 0.76 for the bifactor model compared with 0.63 for the unidimensional model.
The development of this R-REM measure will help to advance the measurement and ultimately evaluation of interventions associated with this important and under recognized problem facing residents in long-term care settings.
尽管众多研究已对聚集场所中个体的行为进行了测量,但很少有研究聚焦于居民对居民的老年人虐待行为(R-REM)。据我们所知,目前尚无经过心理测量学开发的R-REM测量方法。本文描述了一种由工作人员报告的R-REM测量方法的定量开发过程。
采用现况队列研究设计,对5家长期护理机构的居民进行研究。对主要的注册护理助理就R-REM进行访谈。采用先进的测量方法来开发R-REM测量方法。
最终11项量表在一般因素上的载荷大于在组因素上的载荷,但“其他身体行为”这一项除外(分别为0.63和0.74),这表明该量表本质上是单维的。尽管双因素模型的拟合度略优于单维模型,但差异很小(双因素比较拟合指数[CFI]=0.997,近似均方根误差[RMSEA]=0.013,单维CFI=0.979,RMSEA=0.030)。然而,对使用言语和身体分量表提供了适度支持。双因素模型的共同方差解释统计量为0.76,而单维模型为0.63。
这种R-REM测量方法的开发将有助于推进对这一重要且未得到充分认识的长期护理环境中居民面临问题相关干预措施的测量,并最终进行评估。